A method and system for designing capacity size of compressed gas energy storage system

Abstract

The present invention provides a method and system for designing the capacity and size of a compressed gas energy storage system, including constructing a compressed gas energy storage system, setting constraints based on grid electricity price data in the storage area to determine the compressed gas energy storage system's energy storage capacity and power, and the return on investment for the operation of the compressed gas energy storage system; based on the energy storage capacity and power, maximizing the compressed gas energy storage system's cycle efficiency as a second objective function, and using key thermodynamic parameters of each component as decision variables, determining the compressor power, heat exchange power, and high and low pressure gas storage volumes to obtain the complete compressed gas energy storage system capacity and component sizes. In the present invention, the compressor power, expander power, and high and low pressure gas storage volumes are determined, with little consideration given to the operation of the grid, resulting in the problem of excessively high investment costs and low returns. The design method provided by the present invention can effectively avoid this problem.

Description

Technical Field

[0001] The present invention relates to the field of compressed gas energy storage systems, and in particular to a method and system for designing the capacity size of compressed gas energy storage systems. Background Art

[0002] Due to the rapid development of science, technology, and the economy, the global demand for fossil energy is increasing. However, due to its non-renewable nature, fossil energy is gradually becoming depleted. To meet humanity's growing energy needs, renewable energy has become the preferred energy source. Wind and solar energy account for the largest proportion of renewable energy sources. However, the intermittent and uncertain nature of these renewable energy sources poses significant challenges to the safety and stability of their grid integration. To mitigate these shortcomings, energy storage systems are a key measure for achieving stable grid access for renewable energy and have become a hot topic in academic research. Common energy storage methods include battery storage, pumped hydro, and compressed gas storage. Compressed gas storage is further divided into compressed air storage and compressed carbon dioxide storage. Compared to compressed air storage, compressed carbon dioxide storage systems offer advantages such as superior thermodynamic performance, large storage capacity, compact structure, and long service life, and are therefore attracting widespread attention from scholars and research institutions. The key components of a compressed gas storage system primarily consist of a low-pressure gas storage tank, a compressor, a high-pressure gas storage tank, and an expander. The working process of the compressed gas energy storage system for renewable energy storage is as follows: when the power supply exceeds the power demand, the gas in the low-pressure gas storage tank is compressed to a high-pressure state by the compressor and stored in the high-pressure gas storage tank, converting the electrical energy into internal energy and completing the energy storage process; when the power demand exceeds the power supply, the high-pressure gas in the high-pressure gas storage tank is released to drive the output shaft of the expander to drive the generator to generate electricity, converting the internal energy into electricity, meeting the power demand and completing the energy release process. The working process of the compressed gas energy storage system for grid storage is as follows: when the electricity price is low, the compressor runs to compress the low-pressure gas in the low-pressure gas storage tank into the high-pressure gas storage tank to complete the energy storage process and convert the electrical energy into internal energy; when the electricity price is high, the high-pressure gas in the high-pressure gas storage tank is released to drive the expander to drive the generator to generate electricity, converting the internal energy into electricity, completing the energy release process and utilizing the fluctuation of the electricity price to realize the profit.

[0003] The inventor believes that this technology has the following problems:

[0004] 1. Most of the compressed gas energy storage systems currently being put into pilot applications are designed from the perspective of the compressed gas energy storage system itself, without considering the impact of the actual operation of the power grid on the system scale design.

[0005] 2. Currently, most of the compressed gas energy storage systems being put into pilot applications first determine the energy storage capacity and power of the energy storage system itself, and then directly connect the entire compressed gas energy storage system to the grid for profit. This lacks consideration of the grid's operating conditions. The grid-connected compressed gas energy storage system is not of optimal capacity size, which may result in high initial investment costs or low returns. Therefore, there is a lack of a design method for the optimal capacity size of compressed gas energy storage systems. Summary of the Invention

[0006] The purpose of the present invention is to provide a method and system for designing the capacity and size of a compressed gas energy storage system. The compressor power, expander power, and the volumes of high- and low-pressure gas storage tanks are already determined, and less consideration is given to the operation of the power grid, resulting in the problem of excessively high investment costs and low returns. The design method provided by the present invention can effectively avoid this problem.

[0007] To achieve the above objectives, the present invention provides a method for designing the capacity size of a compressed gas energy storage system, comprising the following steps:

[0008] S1. Construct a compressed gas energy storage system. Based on the grid electricity price data of the storage area, take the return on investment of the CGES coupled with the grid as the first objective function, take the rated capacity and rated power of the CGES as the first decision variable, and set constraints to solve the first objective function with the maximum return on investment; wherein the first objective function includes the real-time energy storage power, rated power, and rated capacity of the compressed gas energy storage system;

[0009] S2. Based on the energy storage capacity and energy storage power, with maximizing the cycle efficiency of the compressed gas energy storage system as the second objective function and the key thermodynamic parameters of each component as the second decision variable, determine the compressor power, heat exchange power, and high and low pressure gas storage volume to obtain the complete compressed gas energy storage system capacity and component dimensions.

[0010] Preferably, the components of the compressed gas energy storage system include a compressor, an expander, high and low pressure gas storage tanks, an electric motor, a generator, a coupling, an intercooler and a heater.

[0011] Preferably, the constraints are compressor and expander power constraints, charge and discharge state constraints, and compressed gas energy storage system SOC constraints.

[0012] Preferably, in step S1, the following steps are included:

[0013] S11. Based on the on-grid electricity price in the distribution and storage area, the maximum return on investment of the grid-coupled CGES (Compressed Gas Energy Storage) is the first objective function, with the CGES rated capacity and rated power as the decision variables;

[0014] S12, establishing a mathematical model that satisfies the discharge constraint and the gas storage capacity constraint, and inputting the model into the gurobi solver for solving;

[0015] S13. If the iteration termination condition is met, output the CGES rated capacity and rated power, real-time stored energy power and SOC calculation results; if the iteration termination condition is not met, return to step S12.

[0016] Preferably, in step S2, the following steps are included:

[0017] S21. Input rated capacity and expander power, set CGES initial configuration, and establish CGES model;

[0018] S22. Establish a genetic algorithm by taking thermodynamic parameters that have an important impact on the cycle efficiency of the compressed gas energy storage system as decision variables and combining them with the second objective function;

[0019] S23, after selecting, crossover and mutation of the genetic algorithm, the individual with the maximum fitness is obtained, i.e. the maximum cycle efficiency;

[0020] S24, calculating the thermodynamic parameter values ​​of each component of the CGES system, and calculating the compressor power, heat exchange power, and circulating gas flow rate;

[0021] S25, W exp =E CGES,rate When the energy storage capacity is calculated, the energy storage and release time are calculated; otherwise, the process returns to step S23;

[0022] S26. If the energy storage and release processes should ensure that the gas circulation quality is the same, calculate the density of the high and low pressure gas storage warehouses and the volume of the high and low gas storage reservoirs; otherwise, return to step S23.

[0023] Preferably, the thermodynamic parameters that have an important impact on the cycle efficiency of the compressed gas energy storage system include the compressor outlet temperature, the expander inlet temperature, and the compressor and expander inlet pressures.

[0024] A capacity size design system for a compressed gas energy storage system, comprising

[0025] The power determination module is used to construct a compressed gas energy storage system. Based on the grid electricity price data of the storage area, the return on investment of the CGES coupled with the grid is used as the first objective function. The rated capacity and rated power of the CGES are used as the first decision variables. Constraints are set to solve the first objective function with the maximum return on investment.

[0026] The size calculation module is used to determine the compressor power, heat exchange power, and high and low pressure gas storage volumes based on the energy storage capacity and energy storage power, with maximizing the compressed gas energy storage system cycle efficiency as the second objective function and the key thermodynamic parameters of each component as the second decision variable, to obtain the complete compressed gas energy storage system capacity and component sizes.

[0027] An electronic device includes a memory and a processor, wherein a computer program is stored in the memory, and when the processor calls the computer program in the memory, the processor implements the steps of a method for designing the capacity size of a compressed gas energy storage system.

[0028] A storage medium stores computer-executable instructions, which, when loaded and executed by a processor, implement the steps of a method for designing the capacity size of a compressed gas energy storage system.

[0029] Therefore, the present invention adopts the above-mentioned method and system for designing the capacity size of a compressed gas energy storage system, which can provide capacity size design guidance for equipping a power grid with a compressed gas energy storage system. The compressor power, expander power, and the volume of the high and low pressure gas storage tanks have been determined, and less consideration is given to the operation of the power grid, resulting in the problem of excessively high investment costs and low returns. The design method provided by the present invention can effectively avoid this problem. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 This is the schematic diagram of the compressed gas energy storage system (grid-connected);

[0031] Figure 2 is a flowchart of step S1;

[0032] Figure 3 This is a flowchart of step S2.

[0033] Reference numerals

[0034] 1. Electric motor; 2. Compressor; 3. Intercooler; 4. High-pressure gas storage tank; 5. First valve; 6. Heater; 7. Expander; 8. Generator; 9. Low-pressure gas storage tank; 10. Second valve; 11. Power grid; 12. First coupling; 13. Second coupling. DETAILED DESCRIPTION

[0035] The technical solution of the present invention is further described below with reference to the accompanying drawings and embodiments.

[0036] Unless otherwise defined, technical or scientific terms used in the present invention shall have the same meaning as commonly understood by one of ordinary skill in the art to which the present invention belongs.

[0037] The specific operating principle of the compressed gas energy storage system is as follows: during periods of low electricity prices, the second valve 10 is controlled to open and the first valve 5 is controlled to close. Electric energy from the power grid 11 is supplied to the motor 1, which drives the first coupling 12 to drive the compressor 2 to compress the low-pressure gas from the low-pressure gas storage tank 9. When the high-temperature and high-pressure gas flows through the intercooler 3 and is cooled, the heat is recovered, and the gas finally enters the high-pressure gas storage tank 4, completing the energy storage process.

[0038] During peak electricity prices, the first valve 5 is controlled to open and the second valve 10 is controlled to close. The gas in the high-pressure gas storage tank is released and heated by the heater 6 to increase the working capacity. The high-temperature and high-pressure gas drives the expander to do work, drives the second coupling 13 to drive the generator 8 to transmit electricity to the power grid 11, and the gas after work enters the low-pressure gas storage tank 9, completing the energy release process.

[0039] Example 1

[0040] The present invention provides a method and system for designing the capacity and size of a compressed gas energy storage system, comprising the following steps:

[0041] S1. Construct a compressed gas energy storage system. Based on the grid electricity price data of the storage area, take the return on investment of the CGES coupled with the grid as the first objective function, take the rated capacity and rated power of the CGES as the first decision variable, set constraints to solve the first objective function with the maximum return on investment; wherein, the first objective function includes the real-time energy storage power (expander power), rated power, and rated capacity (energy storage capacity) of the compressed gas energy storage system; the compressed gas energy storage system consists of components such as a compressor, an expander, high and low pressure gas storage tanks, an electric motor, a generator, a coupling, an intercooler, and a heater.

[0042] The following steps are involved:

[0043] S11. Based on the grid-connected electricity price in the storage area, the maximum return on investment of the CGES coupled with the grid is the first objective function. The first objective function includes the real-time energy storage power ( W exp,t 、 W com,t ), rated power , rated capacity , taking the CGES rated capacity and rated power as the first decision variable;

[0044] Among them, the first objective function return on investment is shown in formula (1):

[0045] (1);

[0046] Where, is the return on investment, is the total annual revenue of the compressed gas energy storage system, is the total investment cost, and the total income and total investment cost are shown in formula (2) and formula (3)

[0047] (2);

[0048] Where, v ch,t and They represent the charging and discharging states respectively. and Represent the real-time power of expander and compressor respectively, Indicates the real-time electricity price.

[0049] (3);

[0050] Where, and They are the rated power and rated capacity of the compressed gas energy storage system, and are the investment coefficients related to rated power and rated capacity, is the operation and maintenance cost. Among them, the investment coefficient and operation and maintenance cost can be expressed by formulas (4), (5), and (6).

[0051] (4);

[0052] (5);

[0053] (6);

[0054] Where, and They are the one-time installation cost per unit rated power and per unit capacity, is the discount rate, For service life, is the operation and maintenance cost coefficient.

[0055] S12, establishing a mathematical model that satisfies the discharge constraint and the gas storage capacity constraint, and inputting the model into the Gurobi solver for solving;

[0056] The constraints are compressor and expander power constraints, charge and discharge state constraints, and compressed gas energy storage system SOC constraints.

[0057] The constraints of the mathematical model for discharge constraint and gas storage capacity constraint are:

[0058] The power constraints of the compressor and expander are as follows:

[0059] (7);

[0060] (8);

[0061] Charge and discharge state constraints: There are three states of compressed gas energy storage system: energy storage, energy release and standby. The constraint expression is as follows

[0062] (9);

[0063] (10);

[0064] (11);

[0065] The SOC constraint of the compressed gas energy storage system is expressed as follows

[0066] (12);

[0067] The electricity price data of the area requiring storage, the first objective function, and the constraints are input into the Gurobi solver to solve the first objective function with the maximum return on investment.

[0068] S13: The iteration termination condition MIPGap < 0.01 is met, and the CGES rated capacity is output. and rated power , real-time storage and release energy power ( W exp,t 、 W com,t ) and the SOC calculation result; MIPGap≥0.01, return to step S12.

[0069] The SOC expression of the compressed gas energy storage system is as follows

[0070] (13);

[0071] Where, η com represents the compressor cycle efficiency, η exp Indicates the expander cycle efficiency; usually a constant value

[0072] S2. Based on the energy storage capacity and energy storage power, with maximizing the cycle efficiency of the compressed gas energy storage system as the second objective function and the key thermodynamic parameters of each component as the second decision variable, determine the compressor power, heat exchange power, and high and low pressure gas storage volume to obtain the complete compressed gas energy storage system capacity and component dimensions.

[0073] The following steps are involved:

[0074] S21. Input the rated capacity and expander power, set the CGES initial configuration, and establish the CGES model;

[0075] S22. A genetic algorithm is established by combining a thermodynamic parameter that has an important influence on the cycle efficiency of the compressed gas energy storage system as the second decision variable with the second objective function; the thermodynamic parameters that have an important influence on the cycle efficiency of the compressed gas energy storage system include the compressor outlet temperature, the expander inlet temperature, and the compressor and expander inlet pressures.

[0076] The cycle efficiency of the compressed gas energy storage system is shown in formula (14):

[0077] (14);

[0078] Where, is the expander power, is the compressor power, It is the compression heat recovered by the intercooler. is the amount of heat before entering the expander.

[0079] S23, after selecting, crossover and mutation of the genetic algorithm, the individual with the maximum fitness is obtained, i.e. the maximum cycle efficiency;

[0080] S24, calculate the thermodynamic parameter values ​​of each component of the CGES system, calculate the compressor power, heat exchange power and circulating gas flow (energy storage flow m ch and energy release flow m dis );

[0081] The power of the compressor and expander is shown below

[0082] (15);

[0083] (16);

[0084] Where, and are the energy storage and release flows, and are the compressor inlet and outlet enthalpies, and They are the expander inlet and outlet enthalpies, respectively. The enthalpy values ​​of the compressor and expander can be queried by calling the refpropm physical property library and using the thermodynamic parameter values ​​of each component of the compressed gas energy storage system. For example, the compressor inlet enthalpy value is calculated as shown in the following formula.

[0085] (17);

[0086] T com,in Indicates the compressor inlet temperature, P com,in Indicates the compressor inlet pressure.

[0087] The remaining thermodynamic parameters can be queried and calculated using the refpropm physical property library.

[0088] The heat transfer power is shown as follows

[0089] (18);

[0090] The heat calculation of the intercooler and heater is shown in the above formula, where is the gas flow rate through the heat exchanger, and is the enthalpy of the gas at the inlet and outlet of the heat exchanger.

[0091] S25, W exp =E CGES,rate When the energy storage capacity is calculated, the energy storage and release time are calculated; otherwise, the process returns to step S23;

[0092] The rated power and energy storage capacity have been determined. Therefore, in the genetic algorithm for optimizing cycle efficiency, the rated power is generally the expander power, and the expander power is limited to a certain value by adjusting the energy release flow rate. In addition, the energy storage capacity is used to calculate the energy storage and release time as shown in the following formula:

[0093] (19);

[0094] (20);

[0095] During the cyclic operation of the compressed gas energy storage system, the total gas mass in the storage and release cycles should be the same. The mathematical expression is as follows.

[0096] (twenty one);

[0097] (twenty two);

[0098] (twenty three);

[0099] S26, M ch =M dis When , calculate the density of high and low pressure gas storage warehouses, and calculate the volume of high and low gas storage reservoirs; otherwise, return to step S23.

[0100] During the genetic operation process, it is necessary to continuously adjust the expander flow and the compressor flow to meet the constraints, select, cross and mutate the population of the genetic algorithm, and finally obtain the individual with the maximum fitness, that is, the maximum cycle efficiency of the compressed gas energy storage system. At this time, the thermodynamic parameter values ​​of each component under the maximum cycle efficiency of the compressed gas energy storage system are obtained, and the compressor power, heat exchange power, energy storage flow and energy release flow can be calculated.

[0101] The total mass of the cycle process is calculated using formula (20), and the thermodynamic parameter values ​​of the compressed gas energy storage system obtained by genetic algorithm optimization are used to call the refpropm physical property library to obtain the gas density in the high and low pressure gas storage bins. The volumes of the high and low pressure gas storage bins are calculated using the following formula.

[0102] (twenty four);

[0103] (25);

[0104] Where, and are the volumes of high and low pressure gas storage tanks respectively, and They are the densities of high and low pressure gas storage tanks respectively.

[0105] A capacity size design system for a compressed gas energy storage system, comprising

[0106] The power determination module is used to construct a compressed gas energy storage system. Based on the grid electricity price data of the storage area, the return on investment of the CGES coupled with the grid is used as the first objective function. The rated capacity and rated power of the CGES are used as the first decision variables. Constraints are set to solve the first objective function with the maximum return on investment.

[0107] The size calculation module is used to determine the compressor power, heat exchange power, and high and low pressure gas storage volumes based on the energy storage capacity and energy storage power, with maximizing the compressed gas energy storage system cycle efficiency as the second objective function and the key thermodynamic parameters of each component as the second decision variable, to obtain the complete compressed gas energy storage system capacity and component sizes.

[0108] The electronic device provided herein includes: a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of each of the aforementioned method embodiments are implemented. Alternatively, when the processor executes the computer program, the functions of each module / unit in each of the aforementioned device embodiments are implemented.

[0109] The computer program may be divided into one or more modules / units, which are stored in the memory and executed by the processor to accomplish the present invention.

[0110] The device can be a computing device such as a desktop computer, a notebook computer, a PDA, a cloud server, etc. The terminal device can include, but is not limited to, a processor and a memory.

[0111] The processor can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

[0112] The memory may be used to store the computer programs and / or modules, and the processor implements various functions of the terminal device by running or executing the computer programs and / or modules stored in the memory and calling the data stored in the memory.

[0113] If the module / unit integrated into the terminal device is implemented as a software functional unit and sold or used as a standalone product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention can implement all or part of the process steps in the above-mentioned method embodiments by using a computer program to instruct the relevant hardware. The computer program can be stored in a computer-readable storage medium. When executed by a processor, the computer program can implement the steps of each of the above-mentioned method embodiments. The computer program includes computer program code, which can be in source code form, object code form, executable file, or some intermediate form. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signals, telecommunication signals, and software distribution media. It should be noted that the content of the computer-readable medium can be appropriately increased or decreased based on the requirements of legislation and patent practice in a jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media does not include electric carrier signals and telecommunication signals.

[0114] Therefore, the present invention adopts the above-mentioned method and system for designing the capacity size of a compressed gas energy storage system. The compressor power, expander power, and the volume of the high and low pressure gas storage tanks have been determined, and less consideration is given to the operation of the power grid, resulting in the problem of excessively high investment costs and low returns. The design method provided by the present invention can effectively avoid this problem.

[0115] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit the same. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that they can still modify or replace the technical solutions of the present invention with equivalents, and these modifications or equivalent replacements cannot cause the modified technical solutions to deviate from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for designing the capacity size of a compressed gas energy storage system, characterized in that: The following steps are involved: S1. Construct a compressed gas energy storage system. Based on the grid electricity price data of the storage area, take the return on investment of the CGES coupled with the grid as the first objective function, take the rated capacity and rated power of the CGES as the first decision variable, and set constraints to solve the first objective function with the maximum return on investment; wherein the first objective function includes the real-time energy storage power, rated power, and rated capacity of the compressed gas energy storage system; S2. Based on the energy storage capacity and energy storage power, maximizing the cycle efficiency of the compressed gas energy storage system is used as the second objective function, and the key thermodynamic parameters of each component are used as the second decision variables. The compressor power and heat exchange power and the volume of the high and low pressure gas storage tanks are determined to obtain the complete compressed gas energy storage system capacity and component dimensions, including the following steps: S21. Input rated capacity and expander power, set CGES initial configuration, and establish CGES model; S22, establishing a genetic algorithm using a thermodynamic parameter having an important influence on the cycle efficiency of the compressed gas energy storage system as a second decision variable and combining it with a second objective function; S23, after selecting, crossover and mutation of the genetic algorithm, the individual with the maximum fitness is obtained, i.e. the maximum cycle efficiency; S24, calculating the thermodynamic parameter values ​​of each component of the CGES system, and calculating the compressor power, heat exchange power, and circulating gas flow rate; S25, W exp =E CGES,rate When the energy storage capacity is calculated, the energy storage and release time are calculated; otherwise, the process returns to step S23; wherein, E CGES,rate is the rated power; S26. If the energy storage and release processes ensure the same gas circulation quality, calculate the density of the high and low pressure gas storage warehouses and the volume of the high and low gas storage reservoirs; otherwise, return to step S23.

2. A method for designing the capacity size of a compressed gas energy storage system according to claim 1, characterized in that: The components of the compressed gas energy storage system include a compressor, an expander, high and low pressure gas storage tanks, an electric motor, a generator, a coupling, an intercooler and a heater.

3. A method for designing capacity and size of a compressed gas energy storage system according to claim 1, characterized in that: The constraints are compressor and expander power constraints, charge and discharge state constraints, and compressed gas energy storage system SOC constraints.

4. A method for designing capacity and size of a compressed gas energy storage system according to claim 1, characterized in that: In step S1, the following steps are included: S11. Based on the on-grid electricity price in the distribution and storage area, the return on investment of the CGES coupled with the grid is used as the first objective function, and the rated capacity and rated power of the CGES are used as the first decision variables; S12, establishing a mathematical model that satisfies the discharge constraint and the gas storage capacity constraint, and inputting the model into the Gurobi solver for solving; S13. If the iteration termination condition is met, output the CGES rated capacity and rated power, real-time stored energy power and SOC calculation results; if the iteration termination condition is not met, return to step S12.

5. A method for designing the capacity size of a compressed gas energy storage system according to claim 1, characterized in that: Thermodynamic parameters that have an important impact on the cycle efficiency of the compressed gas energy storage system include the compressor outlet temperature, expander inlet temperature, and compressor and expander inlet pressures.

6. A system for designing the capacity and size of a compressed gas energy storage system, characterized in that: include The power determination module is used to construct a compressed gas energy storage system. Based on the grid electricity price data of the storage area, the return on investment of the CGES coupled with the grid is used as the first objective function. The rated capacity and rated power of the CGES are used as the first decision variables. Constraints are set to solve the first objective function with the maximum return on investment. The sizing module is used to determine the compressor power, heat exchange power, and high and low pressure gas storage volumes based on the energy storage capacity and energy storage power, with maximizing the compressed gas energy storage system cycle efficiency as the second objective function and the key thermodynamic parameters of each component as the second decision variable, to obtain the complete compressed gas energy storage system capacity and component dimensions. The module includes the following steps: S21. Input rated capacity and expander power, set CGES initial configuration, and establish CGES model; S22, establishing a genetic algorithm using a thermodynamic parameter having an important influence on the cycle efficiency of the compressed gas energy storage system as a second decision variable and combining it with a second objective function; S23, after selecting, crossover and mutation of the genetic algorithm, the individual with the maximum fitness is obtained, i.e. the maximum cycle efficiency; S24, calculating the thermodynamic parameter values ​​of each component of the CGES system, and calculating the compressor power, heat exchange power, and circulating gas flow rate; S25, W exp =E CGES,rate When the energy storage capacity is calculated, the energy storage and release time are calculated; otherwise, the process returns to step S23; wherein, E CGES,rate is the rated power; S26. If the energy storage and release processes ensure the same gas circulation quality, calculate the density of the high and low pressure gas storage warehouses and the volume of the high and low gas storage reservoirs; otherwise, return to step S23.

7. An electronic device, characterized in that: The method comprises a memory and a processor, wherein a computer program is stored in the memory, and when the processor calls the computer program in the memory, the steps of the method for designing the capacity size of a compressed gas energy storage system as described in any one of claims 1 to 5 are implemented.

8. A storage medium, characterized in that: The storage medium stores computer-executable instructions, which, when loaded and executed by a processor, implement the steps of a method for designing capacity dimensions of a compressed gas energy storage system as described in any one of claims 1 to 5.

Images